1
|
Yan Q, Zhao Z, Liu D, Li J, Pan S, Duan J, Liu Z. Novel immune cross-talk between inflammatory bowel disease and IgA nephropathy. Ren Fail 2024; 46:2337288. [PMID: 38628140 PMCID: PMC11025414 DOI: 10.1080/0886022x.2024.2337288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 03/27/2024] [Indexed: 04/19/2024] Open
Abstract
The mechanisms underlying the complex correlation between immunoglobulin A nephropathy (IgAN) and inflammatory bowel disease (IBD) remain unclear. This study aimed to identify the optimal cross-talk genes, potential pathways, and mutual immune-infiltrating microenvironments between IBD and IgAN to elucidate the linkage between patients with IBD and IgAN. The IgAN and IBD datasets were obtained from the Gene Expression Omnibus (GEO). Three algorithms, CIBERSORTx, ssGSEA, and xCell, were used to evaluate the similarities in the infiltrating microenvironment between the two diseases. Weighted gene co-expression network analysis (WGCNA) was implemented in the IBD dataset to identify the major immune infiltration modules, and the Boruta algorithm, RFE algorithm, and LASSO regression were applied to filter the cross-talk genes. Next, multiple machine learning models were applied to confirm the optimal cross-talk genes. Finally, the relevant findings were validated using histology and immunohistochemistry analysis of IBD mice. Immune infiltration analysis showed no significant differences between IBD and IgAN samples in most immune cells. The three algorithms identified 10 diagnostic genes, MAPK3, NFKB1, FDX1, EPHX2, SYNPO, KDF1, METTL7A, RIDA, HSDL2, and RIPK2; FDX1 and NFKB1 were enhanced in the kidney of IBD mice. Kyoto Encyclopedia of Genes and Genomes analysis showed 15 mutual pathways between the two diseases, with lipid metabolism playing a vital role in the cross-talk. Our findings offer insights into the shared immune mechanisms of IgAN and IBD. These common pathways, diagnostic cross-talk genes, and cell-mediated abnormal immunity may inform further experimental studies.
Collapse
Affiliation(s)
- Qianqian Yan
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, P. R. China
- Research Institute of Nephrology, Zhengzhou University, Zhengzhou, P. R. China
| | - Zihao Zhao
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, P. R. China
- Research Institute of Nephrology, Zhengzhou University, Zhengzhou, P. R. China
| | - Dongwei Liu
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, P. R. China
- Research Institute of Nephrology, Zhengzhou University, Zhengzhou, P. R. China
- Henan Province Research Center for Kidney Disease, Zhengzhou, P. R. China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, P. R. China
| | - Jia Li
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, P. R. China
- Research Institute of Nephrology, Zhengzhou University, Zhengzhou, P. R. China
- Henan Province Research Center for Kidney Disease, Zhengzhou, P. R. China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, P. R. China
| | - Shaokang Pan
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, P. R. China
- Research Institute of Nephrology, Zhengzhou University, Zhengzhou, P. R. China
- Henan Province Research Center for Kidney Disease, Zhengzhou, P. R. China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, P. R. China
| | - Jiayu Duan
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, P. R. China
- Research Institute of Nephrology, Zhengzhou University, Zhengzhou, P. R. China
- Henan Province Research Center for Kidney Disease, Zhengzhou, P. R. China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, P. R. China
| | - Zhangsuo Liu
- Department of Integrated Traditional and Western Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, P. R. China
- Research Institute of Nephrology, Zhengzhou University, Zhengzhou, P. R. China
- Henan Province Research Center for Kidney Disease, Zhengzhou, P. R. China
- Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province, Zhengzhou, P. R. China
| |
Collapse
|
2
|
Zhang N, Ping W, Rao K, Zhang Z, Huang R, Zhu D, Li G, Ning S. Biomimetic copper-doped polypyrrole nanoparticles induce glutamine metabolism inhibition to enhance breast cancer cuproptosis and immunotherapy. J Control Release 2024; 371:204-215. [PMID: 38810704 DOI: 10.1016/j.jconrel.2024.05.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 05/10/2024] [Accepted: 05/23/2024] [Indexed: 05/31/2024]
Abstract
Cuproptosis, a newly discovered mechanism of inducing tumor cell death, primarily relies on the intracellular accumulation of copper ions. The utilization of Cu-based nanomaterials to induce cuproptosis holds promising prospects in future biomedical applications. However, the presence of high levels of glutathione (GSH) within tumor cells hinders the efficacy of cuproptosis. In this study, we have developed a BPTES-loaded biomimetic Cu-doped polypyrrole nanoparticles (CuP) nanosystem (PCB) for enhanced cuproptosis and immune modulation. PCB comprises an internal BPTES and CuP core and an external platelet membrane (PM) that facilitates active targeting to tumor sites following intravenous administration. Subsequently, PCB effectively suppresses glutaminase (GLS1) activity, thereby reducing GSH content. Moreover, CuP catalyze intracellular H2O2, amplifying oxidative stress while simultaneously inducing dihydrolipoyl transacetylase (DLAT) oligomerization through released Cu2+, resulting in cuproptosis. PCB not only inhibits primary tumors but also exhibits inhibitory effects on abscopal tumors. This work represents the first instance where GLS inhibition has been employed to enhance cuproptosis and immunotherapy. It also provides valuable insights into further investigations on cuproptosis.
Collapse
Affiliation(s)
- Ni Zhang
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Ping
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kexiang Rao
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Zhenlin Zhang
- Department of Breast Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530000, China
| | - Rong Huang
- Department of Breast Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530000, China
| | - Daoming Zhu
- Department of Electronic Science and Technology, School of Physics and Technology, Wuhan University, Wuhan, 430072, China; Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
| | - Guoxin Li
- Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No.168 Litang Road, Changping District, Beijing, China.
| | - Shipeng Ning
- Department of Breast Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530000, China.
| |
Collapse
|
3
|
Qin Z, Yang B, Jin X, Zhao H, Liu N. Cuproptosis in glioblastoma: unveiling a novel prognostic model and therapeutic potential. Front Oncol 2024; 14:1359778. [PMID: 38606090 PMCID: PMC11007140 DOI: 10.3389/fonc.2024.1359778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/20/2024] [Indexed: 04/13/2024] Open
Abstract
Glioblastoma, a notably aggressive brain tumor, is characterized by a brief survival period and resistance to conventional therapeutic approaches. With the recent identification of "Cuproptosis," a copper-dependent apoptosis mechanism, this study aimed to explore its role in glioblastoma prognosis and potential therapeutic implications. A comprehensive methodology was employed, starting with the identification and analysis of 65 cuproptosis-related genes. These genes were subjected to differential expression analyses between glioblastoma tissues and normal counterparts. A novel metric, the "CP-score," was devised to quantify the cuproptosis response in glioblastoma patients. Building on this, a prognostic model, the CP-model, was developed using Cox regression techniques, designed to operate on both bulk and single-cell data. The differential expression analysis revealed 31 genes with distinct expression patterns in glioblastoma. The CP-score was markedly elevated in glioblastoma patients, suggesting an intensified cuproptosis response. The CP-model adeptly stratified patients into distinct risk categories, unveiling intricate associations between glioblastoma prognosis, immune response pathways, and the tumor's immunological environment. Further analyses indicated that high-risk patients, as per the CP-model, exhibited heightened expression of certain immune checkpoints, suggesting potential therapeutic targets. Additionally, the model hinted at the possibility of personalized therapeutic strategies, with certain drugs showing increased efficacy in high-risk patients. The CP-model offers a promising tool for glioblastoma prognosis and therapeutic strategy development, emphasizing the potential of Cuproptosis in cancer treatment.
Collapse
Affiliation(s)
| | | | | | | | - Naijie Liu
- Neurosurgery Department, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| |
Collapse
|
4
|
Liu X, Xu F, Zhao K, Liu Y, Ye G, Zhang X, Qu Y. Comprehending the cuproptosis and cancer-immunity cycle network: delving into the immune landscape and its predictive role in breast cancer immunotherapy responses and clinical endpoints. Front Immunol 2024; 15:1344023. [PMID: 38312844 PMCID: PMC10834629 DOI: 10.3389/fimmu.2024.1344023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
Background The role of cuproptosis, a phenomenon associated with tumor metabolism and immunological identification, remains underexplored, particularly in relation to the cancer-immunity cycle (CIC) network. This study aims to rigorously examine the impact of the cuproptosis-CIC nexus on immune reactions and prognostic outcomes in patients with breast cancer (BC), striving to establish a comprehensive prognostic model. Methods In the study, we segregated data obtained from TCGA, GEO, and ICGC using CICs retrieved from the TIP database. We constructed a genetic prognostic framework using the LASSO-Cox model, followed by its validation through Cox proportional hazards regression. This framework's validity was further confirmed with data from ICGC and GEO. Explorations of the tumor microenvironment were carried out through the application of ESTIMATE and CIBERSORT algorithms, as well as machine learning techniques, to identify potential treatment strategies. Single-cell sequencing methods were utilized to delineate the spatial distribution of key genes within the various cell types in the tumor milieu. To explore the critical role of the identified CICs, experiments were conducted focusing on cell survival and migration abilities. Results In our research, we identified a set of 4 crucial cuproptosis-CICs that have a profound impact on patient longevity and their response to immunotherapy. By leveraging these identified CICs, we constructed a predictive model that efficiently estimates patient prognoses. Detailed analyses at the single-cell level showed that the significance of CICs. Experimental approaches, including CCK-8, Transwell, and wound healing assays, revealed that the protein HSPA9 restricts the growth and movement of breast cancer cells. Furthermore, our studies using immunofluorescence techniques demonstrated that suppressing HSPA9 leads to a notable increase in ceramide levels. Conclusion This research outlines a network of cuproptosis-CICs and constructs a predictive nomogram. Our model holds great promise for healthcare professionals to personalize treatment approaches for individuals with breast cancer. The work provides insights into the complex relationship between the cuproptosis-CIC network and the cancer immune microenvironment, setting the stage for novel approaches to cancer immunotherapy. By focusing on the essential gene HSPA9 within the cancer-immunity cycle, this strategy has the potential to significantly improve the efficacy of treatments against breast cancer.
Collapse
Affiliation(s)
- Xiangwei Liu
- Department of Breast Surgery, The First People’s Hospital of Foshan, Foshan, China
| | - Feng Xu
- Department of Anesthesiology, The First People’s Hospital of Foshan, Foshan, China
| | - Kunkun Zhao
- Department of Breast Surgery, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, China
| | - Yunfei Liu
- Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Guolin Ye
- Department of Breast Surgery, The First People’s Hospital of Foshan, Foshan, China
| | - Xin Zhang
- Department of Pathology, the Second People’s Hospital of Foshan, Foshan, China
| | - Yanyu Qu
- Department of Pathology, the Second People’s Hospital of Foshan, Foshan, China
| |
Collapse
|